Eleni Saka holds an Integrated Master’s degree in Rural, Surveying and Geoinformatics Engineering from the National Technical University of Athens (NTUA). Her thesis focused on wildfire ignition risk prediction across the Mediterranean using Positive-Unlabeled Learning approaches. She has previously worked at the National Observatory of Athens on wildfire risk assessment and satellite image analysis and at the Athena Research Center (Archimedes Unit) on privacy-preserving and distributed ML systems. She is currently a Machine Learning Researcher at the NTUA Laboratory of Remote Sensing, working on self-supervised learning and geospatial foundation models, with projects spanning location encoders, OpenStreetMap-based representation learning, and weather and climate data. Her research interests lie at the intersection of machine learning, Earth Observation, and geospatial AI.